"This is an Improve a Product question. Let's first go over the Improve a Product formula:
Ask clarifying questions
Identify users, behaviors, and pain points
State product goal
Brainstorm small improvements
Brainstorm bolder improvements
Measure success
Summarize
Now, let's begin!
Ask clarifying questions
Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"
Exponent - "This is an Improve a Product question. Let's first go over the Improve a Product formula:
Ask clarifying questions
Identify users, behaviors, and pain points
State product goal
Brainstorm small improvements
Brainstorm bolder improvements
Measure success
Summarize
Now, let's begin!
Ask clarifying questions
Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"See full answer
"That I had not been a PM for a formal ML product. But good models need sound data and my five years of sql writing and ensuring that DWHs and marts had the data they needed for reporting would be very relevant"
Tony C. - "That I had not been a PM for a formal ML product. But good models need sound data and my five years of sql writing and ensuring that DWHs and marts had the data they needed for reporting would be very relevant"See full answer
"This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your equat"
Exponent - "This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your equat"See full answer
"Asked clarifying questions
Thought through the motivation (came up with a mission and business model, modeled it on Safeway with agreement from the interviewer
User segmentation both by age groups and behavior, then prioritized user group
Went through user journey (both physical store and online) to identify pain points
Prioritized pain points
Came up with 5 solutions
Interviewer picked one for me to deep dive. I went into detail on that one.
"
Samya S. - "Asked clarifying questions
Thought through the motivation (came up with a mission and business model, modeled it on Safeway with agreement from the interviewer
User segmentation both by age groups and behavior, then prioritized user group
Went through user journey (both physical store and online) to identify pain points
Prioritized pain points
Came up with 5 solutions
Interviewer picked one for me to deep dive. I went into detail on that one.
"See full answer
"This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your equat"
Exponent - "This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your equat"See full answer
"This is an Improve a Product question. Let's first go over the Improve a Product formula:
Ask clarifying questions
Identify users, behaviors, and pain points
State product goal
Brainstorm small improvements
Brainstorm bolder improvements
Measure success
Summarize
Now, let's begin!
Ask clarifying questions
Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"
Exponent - "This is an Improve a Product question. Let's first go over the Improve a Product formula:
Ask clarifying questions
Identify users, behaviors, and pain points
State product goal
Brainstorm small improvements
Brainstorm bolder improvements
Measure success
Summarize
Now, let's begin!
Ask clarifying questions
Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"See full answer
"This is a straightforward Expansion problem, since we're expanding to a new market. This is the formula you should use when tackling these types of interview questions:
Ask clarifying questions
Perform user analysis
Market risk analysis
State goals
Perform channel analysis
Prioritize growth channels
Strategy
Summarize
Without further ado, let's dive in!
Ask clarifying questions
It's important to ask questions in advance to create a"
Exponent - "This is a straightforward Expansion problem, since we're expanding to a new market. This is the formula you should use when tackling these types of interview questions:
Ask clarifying questions
Perform user analysis
Market risk analysis
State goals
Perform channel analysis
Prioritize growth channels
Strategy
Summarize
Without further ado, let's dive in!
Ask clarifying questions
It's important to ask questions in advance to create a"See full answer
"This is a classic Strategy Question, which asks you to justify high-level business decisions and strategy. With many acquisition strategy questions, we can first look at core competencies and synergies before offering more complex reasoning.
> WeWork had one of the most disastrous IPOs in recent history in 2019. Some reasons why it failed were:A flawed business model
> Poor leadership
> Poor space optimization
> I'll go into detail about each. Feel free to let me know if you want me to dive"
Exponent - "This is a classic Strategy Question, which asks you to justify high-level business decisions and strategy. With many acquisition strategy questions, we can first look at core competencies and synergies before offering more complex reasoning.
> WeWork had one of the most disastrous IPOs in recent history in 2019. Some reasons why it failed were:A flawed business model
> Poor leadership
> Poor space optimization
> I'll go into detail about each. Feel free to let me know if you want me to dive"See full answer